FormaTerre
Bathymetric DEM for the coasts of New-Caledonia
The bathymetric DEM for the coasts of New-Caledonia with a resolution of 0.001° (~ 100 m) was prepared in the framework of a Shom-IRD partnership as part of the TSUCAL project. The DEM covers the basin from New Caledonia in the west to the Vanuatu archipelago in the east. The DEM is designed to be used in hydrodynamic models in order to improve the pertinence of the Waves-Submersion monitoring programme.
Simple
- Date (Creation)
- 2021-10-14
- Citation identifier
- http://www.shom.fr/BATHYMETRIE/MNT_NC100m_WGS84_ZNEG
- Presentation form
- Digital map
- Credit
-
©Shom
- Status
- On going
- Maintenance and update frequency
- Not planned
- Theme
-
-
bathymetry
-
digital elevation model
-
Product
-
open data
-
- Place
-
-
Nouvelle-Calédonie
-
- Discipline
-
-
Geophysic
-
- Use limitation
-
Data may be freely used providing that the source is mentioned as follows "Shom-IRD, 2021. MNT bathymétrique de façade de la Nouvelle-Calédonie(projet TSUCAL) http://dx.doi.org/10.17183/MNT_NC100m_TSUCAL_WGS84 ."
- Use limitation
-
Do not use for navigation
- Use limitation
-
Data may be freely used providing that the source is mentioned as follows "Shom-IRD, 2021. MNT bathymétrique de façade de la Nouvelle-Calédonie (projet TSUCAL) http://dx.doi.org/10.17183/MNT_NC100m_TSUCAL_WGS84 ."
- Use limitation
-
Do not use for navigation
- Access constraints
- License
- Use constraints
- Other restrictions
- Other constraints
-
The product is distributed under an Opendata license (version 2.0, April 2017), defined by the Etalab mission.
- Access constraints
- Other restrictions
- Other constraints
- No public access restrictions.
- Classification
- Unclassified
- Spatial representation type
- Grid
- Distance
- 0.001 dd
- Language
- Français
- Character set
- UTF8
- Topic category
-
- Elevation
))
Vertical extent
- Minimum value
- -7370
- Maximum value
- 5
Vertical CS
Vertical datum
Vertical extent
- Minimum value
- -7370
- Maximum value
- 4
Vertical CS
Vertical datum
- Unique resource identifier
- WGS 84 (EPSG:4326)
- Number of dimensions
- 2
- Dimension name
- Row
- Dimension size
- 6901
- Resolution
- 0.001 dd
- Dimension name
- Column
- Dimension size
- 7601
- Resolution
- 0.001 dd
- Cell geometry
- Area
- Transformation parameter availability
- No
- Distribution format
-
-
ArcGis Grid
(
inapplicable
)
-
BAG
(
inapplicable
)
-
GLZ
(
inapplicable
)
-
GRD
(
inapplicable
)
-
ArcGis Grid
(
inapplicable
)
- OnLine resource
-
Shom geoportal
(
WWW:LINK-1.0-http--link
)
Shom geoportal
- OnLine resource
- MNT_NC100m_PBMA_4326_WMSR ( OGC Web Map Service )
- OnLine resource
- Download service LAT ( WWW:DOWNLOAD-1.0-http--download )
- OnLine resource
- Download service MSL ( WWW:DOWNLOAD-1.0-http--download )
- OnLine resource
- Shom distribution space ( WWW:LINK-1.0-http--link )
- Hierarchy level
- Dataset
Conformance result
- Date (Publication)
- 2010-11-23
- Explanation
-
Information sur la conformité au règlement d'interopérabilité des séries et des services de données géographiques.
- Pass
- Yes
Conformance result
- Date (Publication)
- 2013-12-10
- Explanation
-
Information sur la conformité de la ressource à une spécification (INSPIRE).
- Pass
- Yes
- Statement
-
In addition to the Shom data, the surveys of external organisms have been exploited, the contributors of which are as follows: BBundesamt für Seeschifffahrt und Hydrographie, Etablissement portuaire de Saint-Martin, Hydrographic Service of the Royal Netherlands Navy,
Institut de Physique du Globe de Paris (FEUILLET Nathalie (2009) GWADASEIS cruise, RV Le Suroît, http://dx.doi.org/10.17600/9020020 ), National Centre for Environmental Information,
National Oceanic and Atmospheric Administrationn, United Kingdom Hydrographic Office, Scripps Institution of Oceanography.
- Description
-
The main tasks involved in producing this range of solutions are based on 4 key aspects, each intended to reduce uncertainty for the DEM:
1) collecting, evaluating, pre-processing and selecting data from multiple sources after acquisition using survey systems from various eras;
2) homogenising the vertical and horizontal datums for data sets;
3) using interpolation algorithms suitable for a heterogeneous distribution and the variable density of data, and
4) evaluating and qualifying the final product and preparing documentation.
Overviews
Spatial extent
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